CAPRI An overview on the CAPRI model Common

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CAPRI An overview on the CAPRI model Common Agricultural Policy Regionalized Impact Model Wolfgang

CAPRI An overview on the CAPRI model Common Agricultural Policy Regionalized Impact Model Wolfgang Britz, University Bonn CAPRI overview Wolfgang Britz

What is CAPRI ? CAPRI • A “multi-purpose” modeling system for EU’s agriculture, allows

What is CAPRI ? CAPRI • A “multi-purpose” modeling system for EU’s agriculture, allows to analyze – market policies (administrative prices/tariffs/preferential agreements) – Premium systems/quotas/set-aside at regional level – Environmental policies (standards/market solutions) – Changes in exogenous drivers (population/inflation/exchange rates/consumption behavior/technical progress) • Regarding – – – supply/demand/trade flows hectares/herd size/yields/input use Producer & consumer prices, income indicators Environmental indicators Welfare effects including the EU budget for the Common Agricultural Policy (CAP) CAPRI overview Wolfgang Britz

What is CAPRI ? CAPRI • Acronym means “Common Agricultural Policy Regionalised Impact” •

What is CAPRI ? CAPRI • Acronym means “Common Agricultural Policy Regionalised Impact” • Comprises – The underlying “data base” – The “economic model” – The software tools/code CAPRI overview Wolfgang Britz

CAPRI projects and funding CAPRI • EU funded project 1997 -1999, building upon experience

CAPRI projects and funding CAPRI • EU funded project 1997 -1999, building upon experience with global trade models and models for Germany • First version operational 1999 • 2001 -2004, new project CAP-STRAT, implementing the new global bi-lateral trade model and new environmental indicators • 2001/2002, since 2005: work on farm type module • 2004 -2007, work on spatial dis-aggregation and expansion to EU 27 and Western Balkans (CAPRIDynaspat) • 2009 -2013, work on Rural Development and integration with regional CGEs (CAPRI-RD) CAPRI overview Wolfgang Britz

CAPRI projects and funding, continued CAPRI • Since around 2002, increasing application of CAPRI

CAPRI projects and funding, continued CAPRI • Since around 2002, increasing application of CAPRI in work packages of different research projects such as: – – – – SEAMLESS (FP VI) SENSOR (FP VI) EU-Mercopol (FP VI) EU-Med. Ag. Pol (FP VI) CCAT (FP VI) CCTAME (FP VII) EC 4 MACS (EU-Life) • And application for policy impact assessment (e. g. Agenda 2000, MTR, sugar market reform, dairy market reform, bio-fuels) • Increasingly, link to other tools such as GTAP or Land -User Cover Change models CAPRI overview Wolfgang Britz

CAPRI clients and users CAPRI • Main client is the EU Commission, directorates general

CAPRI clients and users CAPRI • Main client is the EU Commission, directorates general for agriculture and for environment • Users are research institutions: universities, national research institutes and the Joint Research Centre of the EU • Over time, a rather stable network of core coders/users has developed CAPRI overview Wolfgang Britz

CAPRI Connection between CAPRI tools CAPRI Projection Data Base Tools Co. Co CAPTRD MS

CAPRI Connection between CAPRI tools CAPRI Projection Data Base Tools Co. Co CAPTRD MS data Eurostat Scenario impact CAPREG Regional data Input allocation CAPMOD Exploitation Maps CAPRI overview Tables Wolfgang Britz

Data base tools CAPRI • Build up a “suitable” data base for the model:

Data base tools CAPRI • Build up a “suitable” data base for the model: – Comprising all the necessary input data – Using established and harmonized data sources – Without any gaps or inconsistencies • Main elements: – At Member State and regional level: • • Cropping areas, herd sizes and production Input and output coefficients Farm policy instruments (quotas/set-aside/premiums) Income indicators per activity and region – Farm and market balances, Economic Accounts for Agriculture and related prices at Member State level – World wide for individual countries or country aggregates: market balances, tariffs, preferential trade agreements, bilateral trade flows CAPRI overview Wolfgang Britz

Data base tools CAPRI • Three “applications” – COCO: Member State level – CAPREG:

Data base tools CAPRI • Three “applications” – COCO: Member State level – CAPREG: regional level, input distribution – Global: market balances and trade flows, tariffs • Code is realized in GAMS • Application of Bayesian estimators to ensure completeness and consistency CAPRI overview Wolfgang Britz

National data base “Co. Co” CAPRI • Acronym means “Complete and Consistent” • Builds

National data base “Co. Co” CAPRI • Acronym means “Complete and Consistent” • Builds up time series from 1985 -2005 (currently) for EU 27, Norway and Western Balkans and Turkey for about 50 activities and products • Main input source is Eurostat (area statistics, farm and market balances, Economic Accounts for Agriculture, Agricultural prices. . ) • Uses constrained estimation techniques to remove data error and fill gaps • GAMS based • Handled by Bonn team CAPRI overview Wolfgang Britz

Co. Co continued CAPRI • Three “packages” inside Co. Co: – Closed area balances,

Co. Co continued CAPRI • Three “packages” inside Co. Co: – Closed area balances, crop production = yields * area; for all crops simultaneously – Animal herds, slaughtered heads, live imports and exports, market balances for meat, balances for young animals, fat and protein balances for dairy products; simultaneously for groups of animals/animal products (cattle, pigs, poultry, sheep and goat, dairy products) – Market balances; simultaneously for groups of crops (cereals, oilseeds etc. ) CAPRI overview Wolfgang Britz

Regional data “CAPREG” CAPRI • Introduces input allocation and regional dimension • Takes data

Regional data “CAPREG” CAPRI • Introduces input allocation and regional dimension • Takes data at Member State level (Co. Co results) as fix and given • Main input sources: – REGIO domain from Eurostat – Data on CAP from DG-AGRI – Engineering functions, results from econometric estimation for input/feed/fertilizer allocation • Uses constrained estimation techniques to determine input allocation, fertilizer and feed distribution CAPRI overview Wolfgang Britz

Regional data “CAPREG” CAPRI REGIO Co. Co results Policy data Nutrient export per crop

Regional data “CAPREG” CAPRI REGIO Co. Co results Policy data Nutrient export per crop Engineering data FADN estimates CAPRI Ensure that regional areas and herd size match given national ones Distribute idling land, oilseeds to obl. , vol. set-aside, fallow land non-food production on set-aside Distribute inputs across activities at national level Ensure that regional yields match given national ones Adjust yield dependent inputs according to regional yields Manure output functions Requirement functions Nutrient content CAPRI overview Allocation of anorganic and organic fertilizer across regions and crops Allocation of feeding stuff across regions and animals Wolfgang Britz

Reference run CAPRI • Two steps: – Trend estimates are integrated with external forecasts

Reference run CAPRI • Two steps: – Trend estimates are integrated with external forecasts and consistency requirements (area and market balances …) (CAPTRD) – The supply model and the market model are calibrated ex-ante to these results (CAPMOD, baseline modus) CAPRI overview Wolfgang Britz

CAPRI Scenario impact tool “CAPMOD” CAPRI • Designed for counterfactual analysis: – what impacts

CAPRI Scenario impact tool “CAPMOD” CAPRI • Designed for counterfactual analysis: – what impacts if a different policy would be implemented? – Yard stick is the reference run, which covers • the current legislation • technical progress, population and income growth, changes in consumption patterns • for ~10 year horizon from the base year – CAPMOD combines supply models at NUTS II with an EU wide model for young animal and a global trade model for agricultural commodities CAPRI overview Wolfgang Britz

CAPRI The supply side of CAPMOD CAPRI • Each NUTS II region has its

CAPRI The supply side of CAPMOD CAPRI • Each NUTS II region has its own model • Each model has the same structure (variables and equations), but differs in parameters from model for other regions • The models are aggregate non-linear programming model, i. e. they maximize an objective function (revenue – costs) under constraints (land balance, set -aside obligations etc. ) • A non-linear cost function as part of the objective, partially based on econometric estimation, dampens over-specialization, allows for calibration to the base year situation and for model behavior based on observed developments CAPRI overview Wolfgang Britz

CAPRI The supply side of CAPMOD cnt. CAPRI • The constraints comprise: – Arable

CAPRI The supply side of CAPMOD cnt. CAPRI • The constraints comprise: – Arable and grass land – Feed requirements (energy, protein, fibre, min/max of certain feedingstuff etc. ) per animal type – N, P, K balances – Set-aside obligations – Milk quotas => Relatively small number of constraints ! CAPRI overview Wolfgang Britz

CAPRI The supply side of CAPMOD cnt. CAPRI • The objective accounts for: –

CAPRI The supply side of CAPMOD cnt. CAPRI • The objective accounts for: – Revenues from selling products – Costs from buying variable inputs (fertilizer, plant protection, feed etc. ) – Costs for other production factors (capital, labor, information) the non-linear part – A risk component for the A, B, C sugar-beet regime CAPRI overview Wolfgang Britz

CAPRI Relations inside of supply model CAPRI Purchases of fertilizer Sales of animal outputs

CAPRI Relations inside of supply model CAPRI Purchases of fertilizer Sales of animal outputs Sales or purchases of young animals Land balances Nutrient balances Animal activities Young animal balances Set-aside Crop activities Feed balances Requirements balances Sales of crop outputs Purchases of feed CAPRI overview Wolfgang Britz

CAPRI The global trade model of CAPMOD CAPRI • Spatial Multi-Commodity Model • Comprises

CAPRI The global trade model of CAPMOD CAPRI • Spatial Multi-Commodity Model • Comprises supply as well as feed, human consumption and processing demand for 47 products and 60 countries/country aggregates in 28 blocks • Includes bi-lateral trade flows, import tariffs (including Tariff Rate Quotas / preferential agreements) • And market interventions and export subsidies by the EU CAPRI overview Wolfgang Britz

CAPRI The global trade model of CAPMOD CAPRI • Armington approach: quality differences by

CAPRI The global trade model of CAPMOD CAPRI • Armington approach: quality differences by origin of products => imperfect substitution between imports and domestic sales • “Well behaved” function synthetic parameters are in line with micro-economic theory consistent welfare analysis • Consumer prices are different from producer prices, in most cases fixed processing margin • Fat and protein balances for milk/dairy products for EU 27 Member States CAPRI overview Wolfgang Britz

Link of modules in CAPRI Exploitation Env. Indicators Welfare analysis FEOGA budget Aggregated Supply

Link of modules in CAPRI Exploitation Env. Indicators Welfare analysis FEOGA budget Aggregated Supply & Feed demand Supply Module Premiums 280 Regional Programming Models CAPRI overview Market Module Spatial Multi-Commodity Model 28 regional aggregates plus all EU MS States Prices Young Animal Market Module Policy Modules CAP Premiums (base areas, . . . ) CAPRI Herds Acreages Aggregation Linked MS Programming Models Wolfgang Britz

Policy in the model CAPRI WTO commitments CMO limits Price support (intervention sales, subsidised

Policy in the model CAPRI WTO commitments CMO limits Price support (intervention sales, subsidised exports) CAPRI Border protection (tariffs, TRQs) Has an impact on Market prices for agricultural outputs Sales Activity levels Sales quotas (milk, sugar beet) Compensation payments CAPRI overview Set-aside obligations Premium ceilings stocking densities etc. Wolfgang Britz

CAPRI Spatial Downscaling CAPRI • For environmental analysis, local factors as soil, slope, climate

CAPRI Spatial Downscaling CAPRI • For environmental analysis, local factors as soil, slope, climate or surrounding land use matter • Spatial Downscaling part in CAPRI distributes consistently major results at regional level for EU 27 to ~150. 000 clusters of 1 x 1 km grid cells • Allows link to bio-physical models and specific analysis e. g. regarding landscape features CAPRI overview Wolfgang Britz

Exploitation tools CAPRI • Java based Graphical User Interface (GUI): – – Predefined views

Exploitation tools CAPRI • Java based Graphical User Interface (GUI): – – Predefined views as tables, graphs or maps Drill-down tables User may additionally select or pivot Results can be exported to clipboard and different file formats as CSV • Exploitation can be applied to data base or to scenario results • GUI covers also steering of the different work step including scenario runs CAPRI overview Wolfgang Britz

CAPRI network CAPRI • CAPRI handled as “club good”: – Code handled as open

CAPRI network CAPRI • CAPRI handled as “club good”: – Code handled as open source – but successful application of the model requires training and support – the resulting bottle-neck allows the core users/developers to control access • The core network has a informal agreement about distribution of tasks, tenders together for projects and exploits scientific findings in conference contributions and publications • Distribution and maintenance of code and data via a Software Version system to allow for distributed development and application CAPRI overview Wolfgang Britz

CAPRI Thanks for your attention CAPRI overview Wolfgang Britz

CAPRI Thanks for your attention CAPRI overview Wolfgang Britz